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http://dx.doi.org/10.5369/JSST.2014.23.1.1

Blind Signal Processing for Medical Sensing Systems with Optical-Fiber Signal Transmission  

Kim, Namyong (Division of Electronics, Information & Communication Engineering, Kangwon National University)
Byun, Hyung-Gi (Division of Electronics, Information & Communication Engineering, Kangwon National University)
Publication Information
Journal of Sensor Science and Technology / v.23, no.1, 2014 , pp. 1-6 More about this Journal
Abstract
In many medical image devices, dc noise often prevents normal diagnosis. In wireless capsule endoscopy systems, multipath fading through indoor wireless links induces inter-symbol interference (ISI) and indoor electric devices generate impulsive noise in the received signal. Moreover, dc noise, ISI, and impulsive noise are also found in optical fiber communication that can be used in remote medical diagnosis. In this paper, a blind signal processing method based on the biased probability density functions of constant modulus error that is robust to those problems that can cause error propagation in decision feedback (DF) methods is presented. Based on this property of robustness to error propagation, a DF version of the method is proposed. In the simulation for the impulse response of optical fiber channels having slowly varying dc noise and impulsive noise, the proposed DF method yields a performance enhancement of approximately 10 dB in mean squared error over its linear counterpart.
Keywords
Optical links; Dc noise; Impulsive noise; Biased error; Constant modulus; Decision feedback;
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